Pinecone Research — Agent RAG & Long-Term Memory

Use Pinecone as a retrieval-augmented generation (RAG) backend for agent conversations: persist embeddings, retrieve relevant context from past sessions, and build long-term memory.

When to use this skill

Use when:

• Building agent RAG pipelines with Pinecone as the vector store
• Need persistent long-term memory across agent sessions
• Combining retrieval with agent tool use
• Researching or prototyping semantic search workflows

Use the mlops/pinecone skill instead when:

• Need a general Pinecone reference (index management, CRUD, hybrid search)
• Working on production infrastructure without agent integration

Quick start